摘要
为了解决油田地面工程施工风险难以快速应对的问题,本文建立油田地面工程施工风险本体网络,结合案例推理技术,构建油田地面工程施工风险应急管理模型。利用OWL语言本体化历史案例,计算油田地面工程施工风险案例的综合相似度,在属性阈值和关键属性阈值条件下选择最相似的源案例进行匹配。若不满足关键属性阈值条件,则启用Jess推理机进行规则推理修正,针对油田地面工程施工风险事件提出最合适的应急措施。知识本体和案例推理技术引入油田地面工程施工风险应急控制领域,完善了现有的事故控制理论,提高了油田地面工程建设安全控制的智能化水平。
In order to solve the problem that the construction risk of oilfield surface engineering is difficult to deal with quickly,this paper establishes the ontology network of construction risk of oilfield surface engineering,and constructs the emergency management model of construction risk of oilfield surface engineering combining with case-based reasoning technology.Using OWL language ontology historical case,the comprehensive similarity of oilfield ground engineering construction risk case is calculated,and the most similar source case to match under the attribute threshold and key attribute threshold is selected.If the threshold conditions of key attributes are not met,Jess inference engine is used to modify the rules,and the most appropriate emergency measures are proposed for the risk events of oilfield surface engineering construction.Knowledge ontology and case-based reasoning technology are introduced into the field of risk emergency control of oilfield surface engineering construction,which improves the existing accident control theory and improves the intelligent level of safety control of oilfield surface engineering construction.
作者
闫文周
陈芸茜
YAN Wen-zhou;CHEN Yun-xi(School of management,Xi’an University of Architecture and Technology,Xi’an 710055,China)
出处
《土木工程与管理学报》
北大核心
2020年第3期8-12,25,共6页
Journal of Civil Engineering and Management
基金
国家自然科学基金(51478384,51808424)
中华人民共和国住房与城乡建设部项目(2018-R1-009)。
关键词
油田地面工程施工
风险控制
知识本体
案例相似度
规则推理
oilfield surface engineering construction
risk control
knowledge ontology
case similarity
rule reasoning
